![Alireza Ghazavi Khorasgani](/sites/default/files/styles/diamond_shape_250x250/public/2024-01/alireza-ghazavi-khorasgani.jpg?itok=DzBSwWh-)
Alireza Ghazavi Khorasgani
Academic and research departments
Institute for Communication Systems, School of Computer Science and Electronic Engineering.About
My research project
Integrated communication and sensing (ISAC)Many applications envisioned for future communication networks (5G+/6G and beyond) aim to incorporate autonomous control and management systems into communications. This requires the ability to sense the dynamic environment and react appropriately, for intelligent communications.
Integrated communication and sensing (ISAC) is a promising approach to integrate the sensing and communication functionalities by sharing all or part of the bandwidth, transmitted signal waveform, hardware, network infrastructure, and processing framework.
The goal of this project is to investigate the fundamental limits of ISAC systems by characterizing the theoretical performance metrics (such as the ergodic capacity and outage probability) in large random networks, where a large number of users are randomly located. The first step is to develop a mathematical framework and then to characterize the interaction between different key performance indices (KPIs). This enables us to find the optimal regions (boundaries) for the performance metrics, resolve the trade-offs.
Supervisors
Many applications envisioned for future communication networks (5G+/6G and beyond) aim to incorporate autonomous control and management systems into communications. This requires the ability to sense the dynamic environment and react appropriately, for intelligent communications.
Integrated communication and sensing (ISAC) is a promising approach to integrate the sensing and communication functionalities by sharing all or part of the bandwidth, transmitted signal waveform, hardware, network infrastructure, and processing framework.
The goal of this project is to investigate the fundamental limits of ISAC systems by characterizing the theoretical performance metrics (such as the ergodic capacity and outage probability) in large random networks, where a large number of users are randomly located. The first step is to develop a mathematical framework and then to characterize the interaction between different key performance indices (KPIs). This enables us to find the optimal regions (boundaries) for the performance metrics, resolve the trade-offs.
My qualifications
Biography
Alireza Ghazavi Khorasgani, born in Isfahan, Iran in 1996, is an accomplished electrical engineering researcher. Having earned both his B.S. and M.Sc. degrees with distinction from Isfahan University of Technology in 2020 and 2022 respectively, Alireza currently serves as a postgraduate researcher at the University of Surrey's 5G Innovation Centre. His primary focus lies in Integrated Sensing and Communication (ISAC) within the realms of 5G and 6G networks. Alireza's diverse expertise encompasses digital communications, convex optimization, wireless technology, estimation theory, and deep learning. With a dedicated commitment to advancing communication systems.
ResearchResearch interests
Integrated communication and sensing (ISAC), Information Theory
Research interests
Integrated communication and sensing (ISAC), Information Theory
Publications
Additional publications
- A. Qazavi, F. S. Tabataba, M. Naderi-soorki, "Joint User Association and UAV Location Optimization for Two-Tired Visible Light Communication Networks", in proceeding 30th Iranian Conference on Electrical Engineering (ICEE-2022), Tehran, Iran, 2022.